Data Engineer with AI

Applicants must be authorized to work in the United States on a full-time basis without the need for current or future visa sponsorship. No third-party agencies, recruiters, or staffing firms will be considered for this position. Role Summary We are seeking a senior Data Engineer to design and build enterprise-scale data platforms that enable AI/ML and agentic systems. This role focuses on engineering AI-ready data foundations —ensuring data is high-quality, governed, and optimized for advanced analytics and autonomous AI agents. Key Responsibilities Architect and build scalable, cloud-native data platforms supporting AI/ML and agent-based applications Design pipelines to deliver AI-ready data (curated, labeled, contextualized, and feature-rich datasets) Develop robust data ingestion, transformation, and serving layers (batch + real-time) Enable semantic data models, knowledge graphs, and vector databases to power AI agents and LLMs Implement data quality, lineage, and governance frameworks to ensure trust and compliance Collaborate with AI/ML teams to support feature engineering, model training, and inference pipelines Optimize data architectures for performance, scalability, and cost efficiency Mentor teams and establish best practices for AI-driven data engineering Required Skills & Experience 10+ years of experience in data engineering and platform architecture Strong expertise in cloud platforms (Azure, AWS, or GCP) and modern data ecosystems Familiarity with AI/ML data pipelines , feature stores, and model lifecycle support Experience with LLM data pipelines Strong understanding of data governance, metadata management, and security frameworks Preferred Qualifications Experience building data platforms for AI agents / agentic workflows Knowledge of RAG (Retrieval Augmented Generation) architectures and semantic search Exposure to data mesh / domain-oriented data architectures Experience in large-scale enterprise transformation programs #J-18808-Ljbffr